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    Python code to add random Gaussian noise on images
  
        
  
    
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  | import cv2 | |
| def add_gaussian_noise(X_imgs): | |
| gaussian_noise_imgs = [] | |
| row, col, _ = X_imgs[0].shape | |
| # Gaussian distribution parameters | |
| mean = 0 | |
| var = 0.1 | |
| sigma = var ** 0.5 | |
| for X_img in X_imgs: | |
| gaussian = np.random.random((row, col, 1)).astype(np.float32) | |
| gaussian = np.concatenate((gaussian, gaussian, gaussian), axis = 2) | |
| gaussian_img = cv2.addWeighted(X_img, 0.75, 0.25 * gaussian, 0.25, 0) | |
| gaussian_noise_imgs.append(gaussian_img) | |
| gaussian_noise_imgs = np.array(gaussian_noise_imgs, dtype = np.float32) | |
| return gaussian_noise_imgs | |
| gaussian_noise_imgs = add_gaussian_noise(X_imgs) | 
  
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